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South China University of Technology
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Personalized content generation can be dramatically improved by transforming user interaction history into actionable instructions, leading to more relevant and visually appealing outputs.
TailorMind outperforms traditional content generation methods by creating personalized multimodal outputs without needing existing content pools, achieving significant gains in coherence and novelty.
